Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026. We're seeking a visionary Quantum AI Systems Engineer to architect next-generation computational frameworks that redefine machine learning and data processing. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop fault-tolerant quantum neural networks, pushing the boundaries of what's possible in computational intelligence.
Why Nexus Dynamics? We offer unparalleled resources for research and development, including access to our quantum annealing supercomputers and $50M annual R&D budget. Our Austin headquarters features state-of-the-art labs and flexible hybrid work arrangements. Compensation includes equity, performance bonuses, and comprehensive benefits for you and your family.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-time data processing
- Develop error-correction protocols for quantum neural networks
- Collaborate with quantum hardware engineers to optimize system integration
- Create simulation environments for quantum machine learning models
- Lead cross-functional teams in deploying quantum-AI solutions
- Research emerging quantum computing architectures and AI paradigms
- Develop patentable innovations in quantum machine learning
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS with 5+ years experience considered)
- Expertise in quantum algorithms and machine learning frameworks
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Experience with high-performance computing and parallel processing
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, probability theory, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex quantum concepts into practical engineering solutions